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Paper Citation Record · LEDGER

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference

As of 15 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2502.02363.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.02363 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:33:07.469819Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57ac0100-a3a9-4806-b345-4276debecc6d · outbound

This paper cites The marginal likelihood is given by π(y) = Z ∞ −∞ N (y | β, σ2)πHS(β)dβ = 1√ 2πσ 2 Z ∞ 0 1√ 1 + ν2 e − y2 2σ2 (1+ν2 ) p(ν)dν = 2 π √ 2πσ 2 Z ∞ 0 e − y2 2σ2 (1+ν2 ) 1 (1 + ν2)3/2 dν.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference The marginal likelihood is given by π(y) = Z ∞ −∞ N (y | β, σ2)πHS(β)dβ = 1√ 2πσ 2 Z ∞ 0 1√ 1 + ν2 e − y2 2σ2 (1+ν2 ) p(ν)dν = 2 π √ 2πσ 2 Z ∞ 0 e − y2 2σ2 (1+ν2 ) 1 (1 + ν2)3/2 dν

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:33:07.629004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-09T12:33:07.436938Z digest=sha256:b075d3a0cbe26481b3ff74e7a474dace5b3941006641dd3e04de789908bf9346

Observation 360e4bf9-e729-4d27-b9f2-c8c496cd0962 · outbound

This paper cites an unresolved cited work.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:33:07.553702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-09T12:33:07.462943Z digest=sha256:9fdc5c559edac9261ff5207c6e5f33c5dca5ef82c7f585a2cf3ce8cb0f40905d

Observation ba04e0dc-8cd9-419f-a0a3-dea0575107bb · outbound

This paper cites Using the asymptotic expansion (Slater, 1960, Chapter 4, Eq.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference Using the asymptotic expansion (Slater, 1960, Chapter 4, Eq

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:33:07.618818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-09T12:33:07.440578Z digest=sha256:9835b20b954ac6b9df394ce7b72144295d5eed74c967ae6a21b6c411f3a8a2ac

Observation 2ae35f6e-fd3f-4857-a44c-0ff2074fe641 · outbound

This paper cites While Kummer’s 1F1 function is implemented in many standard scientific libraries, such as SciPy, Φ1 is not.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference While Kummer’s 1F1 function is implemented in many standard scientific libraries, such as SciPy, Φ1 is not

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:33:07.607176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-09T12:33:07.444415Z digest=sha256:474baaab6ac6451f1ba7946e7856cf8f6db1099de384010d118596cdefce935f

Observation d5f2430e-0f81-46f1-99f7-01df96c49aca · outbound

This paper cites Additionally, if the prior π0(β) := π0(β; σ) admits σ as a scale parameter, writing wα(β; σ) for the corresponding tail function, we have wα(β; σ) = wα β σ ; 1.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference Additionally, if the prior π0(β) := π0(β; σ) admits σ as a scale parameter, writing wα(β; σ) for the corresponding tail function, we have wα(β; σ) = wα β σ ; 1

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:33:07.596786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-09T12:33:07.448232Z digest=sha256:781db9d78224d91bf52330fff71fc939e7767d2b59a65e7b2a356560631f50c9

Observation 75115d64-7c71-40f1-9c91-6ae73f52a6b1 · outbound

This paper cites Let π0(β; σ) be a symmetric prior on β such that the marginal density π(y) has power-law tails, i.e.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference Let π0(β; σ) be a symmetric prior on β such that the marginal density π(y) has power-law tails, i.e

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:33:07.585692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-09T12:33:07.451984Z digest=sha256:8226246e164d3f8e09432e1a19b0f229c9acd77365ba811f578dfc93ed8a08d3

Observation 16911417-1f13-47c5-a672-a3983b54d93e · outbound

This paper cites With the above two lemmas, we can now prove Theorem 4.1, which we restate here in extended form.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference With the above two lemmas, we can now prove Theorem 4.1, which we restate here in extended form

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:33:07.574319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-09T12:33:07.455900Z digest=sha256:21e270f317b96e166a272a8e9d64c7bf652a97f1c46ae8f898d5b2d3e4ec2eaa

Observation 9a2ecc6b-539c-4ff4-8147-c6bbe601ac64 · outbound

This paper cites Therefore, (S41) and (S42) hold almost surely by sandwiching.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference Therefore, (S41) and (S42) hold almost surely by sandwiching

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:33:07.563877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-09T12:33:07.459476Z digest=sha256:d7ba05179e7bbb955f8ca0ea0b64ce4eeda3df3d310c069e01bda4e57a3c525c

Observation 5aa716c4-5c4a-4d9f-b448-eff3c2938bd0 · outbound

This paper cites The goal is to estimate the fraction of galaxies with spiral arms, i.e.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference The goal is to estimate the fraction of galaxies with spiral arms, i.e

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:33:07.543521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-09T12:33:07.466375Z digest=sha256:954a9424b132a1ad51af9c75329ebd992be3364859573300ee61fa3aeabd0968

Observation 963f2bbc-d5d3-4fb0-8c24-679eb14d8d95 · outbound

This paper cites Mean estimation experiment on the FOREST dataset with varying horseshoe prior scale.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference Mean estimation experiment on the FOREST dataset with varying horseshoe prior scale

Reference 1596

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:33:07.532571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-09T12:33:07.469819Z digest=sha256:d5dd8244d8522fde94ef9a7fe134b513812739d0d5505323c94aa15c691a0a1e

Observation 91fc120d-c367-48af-8255-5878f8eaf626 · outbound

This paper cites PPI++: Efficient Prediction-Powered Inference.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference PPI++: Efficient Prediction-Powered Inference

Reference 1974

Resolution
unresolved
no resolver link, observed 2026-08-09T12:33:07.419947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:33:07.419947Z digest=sha256:d5ecfebe60aa4a6a4745fda43ce830df3306cb097191af688f954805297d8218

Observation 5acbeb15-5b4c-4eb3-86a1-548d44a1c663 · outbound

This paper cites A., Dhingra, B., Globerson, A., and Cohen, W.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference A., Dhingra, B., Globerson, A., and Cohen, W

Reference 2008

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:33:07.639474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-09T12:33:07.429036Z digest=sha256:86fd5c2cf8ec4a1c56e5c032622917a66cca82688ae48ed0be59babf10960262

Observation e84f6fd5-5e7b-4fad-a221-3798b4a76c50 · outbound

This paper cites Bayes-assisted Confidence Regions: Focal Point Estimator and Bounded-influence Priors.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference Bayes-assisted Confidence Regions: Focal Point Estimator and Bounded-influence Priors

Reference 2010

Resolution
unresolved
no resolver link, observed 2026-08-09T12:33:07.424695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:33:07.424695Z digest=sha256:cef3b41a41c6a45505e45e27359913516d94c733defe6f15bfc9e8c2e2e272eb

Observation d5c743d3-5c52-4667-b1e9-e51dd34c7af2 · outbound

This paper cites Bayesian Prediction-Powered Inference.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference Bayesian Prediction-Powered Inference

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-09T12:33:07.432808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:33:07.432808Z digest=sha256:de843c9053e10f7ff551693297cbeef5ad43df33d1aa086fd76514e2fd3e1240

Pith citing papers

No inbound Pith citation observations are available.